Esports World Model Dataset

Key points

• Interactive world models must capture how multiple participants jointly change a shared environment while observing different parts of it.1
• Competitive games make this challenge concrete: players cooperate and compete, while fog of war, team vision and camera placement determine what each can see.1
• In StarCraft II, player-specific entity records further distinguish live observations from remembered snapshots and link co-observed entities across opposing views.1
• By connecting human decisions, shared dynamics and player-specific information, EWM supports research toward jointly controlled multiplayer world models and interactive environments populated by teammates and opponents learned from human play.1

Sources (1)

• [1]Esports World Model Dataset
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 12, 04:41 AM

  We introduce the Esports World Model Dataset (EWM), a collection of human gameplay spanning StarCraft II, Dota 2 and Counter-Strike 2, with 3,053 games and maps and approximately 4,880 player-view hours, including estimated hours for the ongoing CS2 extension.

  Interactive world models must capture how multiple participants jointly change a shared environment while observing different parts of it.

Extractive summary: sentences quoted from the sources.